Introduction

An introduction of the data and a description of the trends/books/items you are choosing to analyze (and why!)

Summary Information

Write a summary paragraph of findings that includes the 5 values calculated from your summary information R script

These will likely be calculated using your DPLYR skills, answering questions such as:

Feel free to calculate and report values that you find relevant.

The Dataset

This data was collected and published by the Seattle Public Library.

The data collected include the format, year, month, and number of checkouts per book. It also includes the title, the author(s), publishers, genre, and publication year of the book.

Through

Federal mandate to publicise data

length of checkout

akjdhajksd

Your Choice

The last chart is up to you. It could be a line plot, scatter plot, histogram, bar plot, stacked bar plot, and more. Here are some requirements to help guide your design:

Here’s an example of how to run an R script inside an RMarkdown file:

## `summarise()` has grouped output by 'date'. You can override using the
## `.groups` argument.